1 00:00:02,759 --> 00:00:10,600 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,640 --> 00:00:14,600 Speaker 1: Bloomberg Intelligence Podcast. Catch us live weekdays at ten am 3 00:00:14,640 --> 00:00:17,880 Speaker 1: Eastern on Apple, Cocklay and Android Auto with the Bloomberg 4 00:00:17,960 --> 00:00:21,080 Speaker 1: Business App. Listen on demand wherever you get your podcasts, 5 00:00:21,400 --> 00:00:24,239 Speaker 1: or watch us live on YouTube through Dell. 6 00:00:24,360 --> 00:00:28,440 Speaker 2: Let's dig a little deeper into this guidance that the 7 00:00:28,480 --> 00:00:30,440 Speaker 2: company offered. I'd say it's more than guidance, is it. 8 00:00:30,360 --> 00:00:32,720 Speaker 3: It's kind of a I don't know, kind of a 9 00:00:32,840 --> 00:00:34,040 Speaker 3: long term vision, a little bit. 10 00:00:34,000 --> 00:00:36,360 Speaker 2: Of yes, where business is going exactly, and you know, 11 00:00:36,440 --> 00:00:37,839 Speaker 2: in the tech industry, to be able to kind of 12 00:00:37,880 --> 00:00:40,320 Speaker 2: project out that far as pretty notable. Let's bring in 13 00:00:40,440 --> 00:00:43,240 Speaker 2: Ed Ludlow, who is our b Tech co anchor based 14 00:00:43,240 --> 00:00:46,360 Speaker 2: in San Francisco, and Ed, one thing that I noticed 15 00:00:46,400 --> 00:00:50,000 Speaker 2: about Dell is that this is another legacy tech company 16 00:00:50,000 --> 00:00:52,600 Speaker 2: that's getting a big boost here from the whole AI play, 17 00:00:52,720 --> 00:00:55,560 Speaker 2: and Dell is doing that through its AI servers, but 18 00:00:55,600 --> 00:00:58,360 Speaker 2: it still has another part of its conventional business that 19 00:00:58,560 --> 00:00:59,800 Speaker 2: is holding up at. 20 00:00:59,800 --> 00:01:01,880 Speaker 3: Least Yeah exactly. 21 00:01:01,960 --> 00:01:05,440 Speaker 4: I mean, you guys make really good points about is 22 00:01:05,520 --> 00:01:08,600 Speaker 4: this guidance or more it's kind of like a reset 23 00:01:09,080 --> 00:01:13,600 Speaker 4: on Dell's position in the AI market. It's another example 24 00:01:13,680 --> 00:01:16,240 Speaker 4: of like, well, if we're all sort of very hyped 25 00:01:16,319 --> 00:01:19,440 Speaker 4: up about data center builds out and in videos getting 26 00:01:19,480 --> 00:01:22,800 Speaker 4: all of this love, and we're very focused on energy, 27 00:01:22,880 --> 00:01:25,759 Speaker 4: then why do we not talk more about Dell. If 28 00:01:25,800 --> 00:01:30,080 Speaker 4: you build a data center, whether that is hyper scale 29 00:01:30,680 --> 00:01:33,840 Speaker 4: or it's an on premises smaller facility that any given 30 00:01:33,920 --> 00:01:37,400 Speaker 4: sort of software company operates themselves, Dell is likely to 31 00:01:37,400 --> 00:01:40,480 Speaker 4: play a part. You know, they assemble servers that needs 32 00:01:40,520 --> 00:01:42,640 Speaker 4: to happen. You don't just sort of put all the 33 00:01:42,720 --> 00:01:45,679 Speaker 4: chips and a pile on the floor. And so it's 34 00:01:45,720 --> 00:01:48,760 Speaker 4: taken a while for investors to kind of give Dell 35 00:01:48,800 --> 00:01:51,680 Speaker 4: credit for that. A part of the reason being that 36 00:01:51,760 --> 00:01:55,680 Speaker 4: because this buildout of infrastructure is so fast, Dell's margins 37 00:01:55,720 --> 00:01:58,240 Speaker 4: on the AI server business have really suffered because you 38 00:01:58,280 --> 00:02:00,640 Speaker 4: have to spend money to move quickly. And a big 39 00:02:00,680 --> 00:02:02,600 Speaker 4: part of the guidance they gave us through the fiscal 40 00:02:02,640 --> 00:02:06,120 Speaker 4: thirties that that profit picture for the AI server business 41 00:02:06,160 --> 00:02:08,760 Speaker 4: is really going to improve, and as you say, the 42 00:02:08,800 --> 00:02:11,520 Speaker 4: core business, which is kind of PC as well, is 43 00:02:11,560 --> 00:02:12,760 Speaker 4: supporting them do that. 44 00:02:13,800 --> 00:02:16,239 Speaker 5: In the interim, Dell stock is up two and a 45 00:02:16,280 --> 00:02:18,840 Speaker 5: half percent today, it's today fifty two week high. 46 00:02:18,840 --> 00:02:20,720 Speaker 3: Today, it's up thirty percent year to dat. 47 00:02:20,760 --> 00:02:22,120 Speaker 5: It's not an all time high that was back in 48 00:02:22,200 --> 00:02:24,600 Speaker 5: twenty twenty four, but it's certainly gone in the right 49 00:02:24,639 --> 00:02:29,920 Speaker 5: direction here. So, ed, how does the company position itself 50 00:02:29,960 --> 00:02:32,720 Speaker 5: as an AI player? Are they playing that up or 51 00:02:32,720 --> 00:02:36,640 Speaker 5: are they saying, hey, we're in a good position. How 52 00:02:36,720 --> 00:02:38,760 Speaker 5: are they kind of positioning their company as. 53 00:02:38,600 --> 00:02:39,360 Speaker 3: A yeah my story. 54 00:02:40,040 --> 00:02:42,040 Speaker 4: So right now in New York City, all of the 55 00:02:42,080 --> 00:02:46,720 Speaker 4: executives are on a stage talking about bigging themselves up, 56 00:02:46,800 --> 00:02:49,200 Speaker 4: and the main argument that they're making is that on 57 00:02:49,360 --> 00:02:53,519 Speaker 4: premises part I us talking about. So in the future, 58 00:02:54,200 --> 00:02:59,200 Speaker 4: Dell argues eighty five percent of all enterprises are going 59 00:02:59,240 --> 00:03:03,880 Speaker 4: to have some form of on prem footprint themselves, and Dell, 60 00:03:04,440 --> 00:03:07,720 Speaker 4: which has a rich history of selling to businesses of 61 00:03:07,919 --> 00:03:11,560 Speaker 4: small and large and the public sector, is best position 62 00:03:11,840 --> 00:03:17,000 Speaker 4: to participate in that. And the idea, right is that 63 00:03:17,360 --> 00:03:20,840 Speaker 4: this all started with the hyperscalers, the cloud computing companies 64 00:03:21,160 --> 00:03:24,600 Speaker 4: and their capital expenditures. But the ripple effect is that 65 00:03:24,639 --> 00:03:29,200 Speaker 4: we're now seeing smaller companies in software in particular, justified 66 00:03:29,240 --> 00:03:32,720 Speaker 4: budgets to spend on their own technology because they see 67 00:03:32,720 --> 00:03:36,320 Speaker 4: a return on the other side, literally revenues driven by AI. 68 00:03:36,640 --> 00:03:40,280 Speaker 4: So that's what Dell's argument is here. You know, you guys, 69 00:03:40,560 --> 00:03:43,600 Speaker 4: the story is that through twenty thirty, they've basically almost 70 00:03:43,640 --> 00:03:46,480 Speaker 4: doubled their forecast for the top and bottom line five 71 00:03:46,600 --> 00:03:49,760 Speaker 4: to seven to nine percent top line growth and adjusted 72 00:03:49,800 --> 00:03:53,520 Speaker 4: EPs growth of around fifteen percent. And a big part 73 00:03:53,560 --> 00:03:56,680 Speaker 4: of that story is just more people doing business with them. 74 00:03:57,240 --> 00:04:00,120 Speaker 2: So one thing that stuck out to me Ed is 75 00:04:00,200 --> 00:04:02,520 Speaker 2: the comments from the CEO, Jeff Clark, saying we were 76 00:04:02,560 --> 00:04:04,960 Speaker 2: all wrong about how big we thought the AI market 77 00:04:05,160 --> 00:04:08,240 Speaker 2: was two years ago, and it's nothing but bigger. Does 78 00:04:08,320 --> 00:04:11,800 Speaker 2: do have a reputation as being conservative when kind of 79 00:04:11,800 --> 00:04:15,600 Speaker 2: guiding along its its vision or is this some a 80 00:04:15,600 --> 00:04:17,799 Speaker 2: company that usually nails it in terms of its forecasts? 81 00:04:18,680 --> 00:04:21,760 Speaker 4: You know, like, I don't know, conservative is fair? I mean, 82 00:04:21,839 --> 00:04:24,120 Speaker 4: like you have to assess the business that they're doing 83 00:04:24,120 --> 00:04:26,919 Speaker 4: in the here and now and the pipeline of business 84 00:04:26,920 --> 00:04:29,200 Speaker 4: that they say has to come. And so like Dina 85 00:04:29,240 --> 00:04:31,400 Speaker 4: Bassar College did a really good job of explaining that 86 00:04:31,480 --> 00:04:34,200 Speaker 4: in the quarter, there is the sales that they've had 87 00:04:34,240 --> 00:04:38,479 Speaker 4: committed to them. They booked five point six billion dollars 88 00:04:38,520 --> 00:04:41,880 Speaker 4: of new AI server business in the quarter. They shipped 89 00:04:42,839 --> 00:04:46,479 Speaker 4: eight point two billion dollars worth of business in the quarter, 90 00:04:46,560 --> 00:04:49,600 Speaker 4: so like actual sales, and then in the future they 91 00:04:49,600 --> 00:04:52,760 Speaker 4: have a backlog of twelve billion. It's not that new 92 00:04:52,800 --> 00:04:55,679 Speaker 4: an idea that there's a pipeline of business. It takes 93 00:04:55,720 --> 00:04:59,480 Speaker 4: time to assemble servers, you know, ship them out onto location. 94 00:05:00,400 --> 00:05:03,360 Speaker 4: The thing that they need to justify is like, what's 95 00:05:03,400 --> 00:05:05,840 Speaker 4: the value add that they do. So I told you 96 00:05:05,880 --> 00:05:09,359 Speaker 4: earlier in this segment they say margins will improve. The 97 00:05:09,440 --> 00:05:12,200 Speaker 4: thing is that all they're really doing is assembling something. 98 00:05:12,560 --> 00:05:15,520 Speaker 4: They're not sort of contributing some amazing technology. That's what 99 00:05:15,640 --> 00:05:16,279 Speaker 4: Nvidio is doing. 100 00:05:17,120 --> 00:05:20,200 Speaker 3: Stay with us. More from Bloomberg Intelligence coming up after this. 101 00:05:23,880 --> 00:05:27,560 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 102 00:05:27,640 --> 00:05:30,760 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 103 00:05:30,760 --> 00:05:34,080 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 104 00:05:34,120 --> 00:05:37,680 Speaker 1: you get your podcasts, or watch us live on YouTube. 105 00:05:38,200 --> 00:05:40,040 Speaker 3: App Lovin stocks up. 106 00:05:40,160 --> 00:05:43,240 Speaker 5: That's despite the fact that the app love and this 107 00:05:43,279 --> 00:05:47,919 Speaker 5: company's being probe by the SEC over its data collection practices. 108 00:05:48,160 --> 00:05:49,159 Speaker 3: I don't know how to play that. 109 00:05:49,520 --> 00:05:52,240 Speaker 2: I know the stock is the best performing NAZAC member 110 00:05:52,279 --> 00:05:55,000 Speaker 2: in the second half of this year, up seventy nine percent. 111 00:05:55,120 --> 00:05:57,599 Speaker 5: Okay, I have to start with the pro We're going 112 00:05:57,680 --> 00:06:00,360 Speaker 5: to go to Nathan A Do Bloomberg Intelligence tech anlogy 113 00:06:00,400 --> 00:06:01,200 Speaker 5: research analysts. 114 00:06:01,360 --> 00:06:03,640 Speaker 3: Nathan, I don't know a lot about this company. 115 00:06:03,680 --> 00:06:07,040 Speaker 5: Tell our viewers and our listeners about app love and 116 00:06:07,120 --> 00:06:08,080 Speaker 5: number one and number two? 117 00:06:08,160 --> 00:06:08,560 Speaker 6: What is this? 118 00:06:08,839 --> 00:06:10,160 Speaker 3: Let's the SEC interested in? 119 00:06:11,680 --> 00:06:15,960 Speaker 7: So essentially Applevin is in the business of helping advertisers 120 00:06:16,080 --> 00:06:20,120 Speaker 7: or helping rather owners of apps primary apps on the 121 00:06:20,120 --> 00:06:25,159 Speaker 7: iOS devices on Android, Helping publishers sell at space inside 122 00:06:25,200 --> 00:06:29,640 Speaker 7: of their apps to potential advertisers, meaning that help app 123 00:06:30,160 --> 00:06:33,960 Speaker 7: app owners advertise, you know, make money off of selling 124 00:06:34,040 --> 00:06:37,800 Speaker 7: at space to advertisers, whether that be brands or another 125 00:06:37,839 --> 00:06:42,640 Speaker 7: game potentially, and Applevin typically charges a fee in mediating 126 00:06:42,680 --> 00:06:47,160 Speaker 7: that transactions. So going on to the SEC prop or 127 00:06:47,240 --> 00:06:51,040 Speaker 7: potential SEC proprather because nothing is confirmed as of now. 128 00:06:52,520 --> 00:06:57,560 Speaker 7: SEC allegedly is looking into its data collection practices. And 129 00:06:58,440 --> 00:07:01,120 Speaker 7: you know, there was a couple of links made to 130 00:07:01,279 --> 00:07:05,520 Speaker 7: short salary reports that surfers back in February, and that 131 00:07:05,760 --> 00:07:10,800 Speaker 7: was also around the company business practices, particularly in its 132 00:07:11,120 --> 00:07:15,520 Speaker 7: inflation of app installation numbers. And actually, you know, in 133 00:07:15,560 --> 00:07:19,200 Speaker 7: addition to this SEC probe or potential SEC probe, rather, 134 00:07:19,720 --> 00:07:23,320 Speaker 7: there was a class action lawsuit file in March and 135 00:07:24,120 --> 00:07:26,840 Speaker 7: it's it's it could advance a trial, according to our 136 00:07:26,920 --> 00:07:30,960 Speaker 7: litigation analyst, Matthew based in Washington, d C. And so 137 00:07:31,040 --> 00:07:33,559 Speaker 7: that is another that's actually it could be the bigger 138 00:07:33,640 --> 00:07:36,680 Speaker 7: fish fish to fry for able in addition to, you know, 139 00:07:36,720 --> 00:07:39,760 Speaker 7: alongside this SEC probe. From from my point of view. 140 00:07:40,160 --> 00:07:43,280 Speaker 2: Okay, so there's negative catalysts for sure for this company. 141 00:07:43,360 --> 00:07:45,840 Speaker 2: Yet as what points out, the stock is rising today. 142 00:07:45,880 --> 00:07:48,080 Speaker 2: Is this because Apple love it is a meme stock. 143 00:07:50,200 --> 00:07:52,559 Speaker 7: Well, I don't know about Eplepin being a meme stock, 144 00:07:52,680 --> 00:07:55,960 Speaker 7: but I mean, the certainly haven't made up all of 145 00:07:56,000 --> 00:07:58,640 Speaker 7: the losses that we saw yesterday. The stock was down 146 00:07:59,120 --> 00:08:02,000 Speaker 7: fourteen fifteen percent in one day, and then you've made 147 00:08:02,120 --> 00:08:07,520 Speaker 7: up partially that in today's gains. And because the SEC 148 00:08:07,680 --> 00:08:10,760 Speaker 7: probe is not confirmed, and typically the biggest risk from 149 00:08:10,800 --> 00:08:14,280 Speaker 7: this potential SEC probe is a penalty. And if we 150 00:08:14,360 --> 00:08:18,280 Speaker 7: look at SEC's published report for its fiscal twenty twenty four, 151 00:08:18,640 --> 00:08:22,360 Speaker 7: the heaviest fine was one hundred million Meanwhile, Aplevin at 152 00:08:22,400 --> 00:08:25,040 Speaker 7: the moment is pumping pumping out two billion in pre 153 00:08:25,160 --> 00:08:28,720 Speaker 7: cash flow every year. So I think the SEC risk 154 00:08:28,760 --> 00:08:31,800 Speaker 7: alone is it wouldn't make much of a financial impact 155 00:08:31,800 --> 00:08:35,600 Speaker 7: to Aplevin per se, you know. But the bigger risk 156 00:08:35,640 --> 00:08:38,320 Speaker 7: that we're watching here is definitely that potential class action 157 00:08:38,440 --> 00:08:41,959 Speaker 7: lawsuit because our analyst Matthew estimate that that could be 158 00:08:42,360 --> 00:08:46,200 Speaker 7: seven hundred and fifty million in fine if that, you know, 159 00:08:47,000 --> 00:08:50,400 Speaker 7: if that goes to trials and Ablevin couldn't win a 160 00:08:50,440 --> 00:08:53,720 Speaker 7: motion to dismiss in the next couple of months. 161 00:08:54,320 --> 00:08:57,640 Speaker 5: So yeah, Nathan, what does has a company responded at 162 00:08:57,640 --> 00:08:58,520 Speaker 5: all or talked about this? 163 00:08:58,760 --> 00:09:00,079 Speaker 3: Is this issue? 164 00:09:00,240 --> 00:09:04,640 Speaker 7: So the only allegations that the company denied was the 165 00:09:05,679 --> 00:09:09,920 Speaker 7: allegations from the shortsellers back in February. The company has 166 00:09:10,040 --> 00:09:15,640 Speaker 7: not outwardly denied the allegations or the potential allegations rather 167 00:09:15,720 --> 00:09:20,720 Speaker 7: from the late SEC probe. So that's where we stand 168 00:09:20,800 --> 00:09:21,240 Speaker 7: right now. 169 00:09:21,640 --> 00:09:24,800 Speaker 3: Stay with us. More from Bloomberg Intelligence coming up after this. 170 00:09:28,679 --> 00:09:32,360 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 171 00:09:32,440 --> 00:09:35,559 Speaker 1: weekdays at ten am Eastern on Apple, Coarclay and Android 172 00:09:35,559 --> 00:09:38,880 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 173 00:09:38,920 --> 00:09:42,040 Speaker 1: you get your podcasts, or watch us live on YouTube. 174 00:09:42,640 --> 00:09:46,640 Speaker 5: All right, I'm thinking Constellation brands. You think in Corona Beer, 175 00:09:47,120 --> 00:09:52,240 Speaker 5: Modella beer, Pacifico beer that got some wines stocks down 176 00:09:52,400 --> 00:09:56,360 Speaker 5: thirty five percent here to date, and I'm thinking it 177 00:09:56,400 --> 00:09:58,160 Speaker 5: has to do with the crackdown on. 178 00:09:58,160 --> 00:10:00,920 Speaker 3: The immigration tariffs as well and those brands. 179 00:10:00,960 --> 00:10:02,840 Speaker 5: So I'm thinking of all that kind of kind of 180 00:10:03,280 --> 00:10:04,680 Speaker 5: just kind of weighing down on the stock. 181 00:10:04,800 --> 00:10:06,240 Speaker 3: Let's checking in with Ken Chay. 182 00:10:06,280 --> 00:10:09,600 Speaker 5: He's the senior consumer products analyst for Bloomberg Intelligence. Can 183 00:10:09,600 --> 00:10:13,040 Speaker 5: talk to us about Constellation brands. What's weighing on the stock, 184 00:10:13,080 --> 00:10:15,040 Speaker 5: what's the company doing about it? 185 00:10:15,760 --> 00:10:18,360 Speaker 8: Yeah, Hi, Paul and Scarlet. Well, you mentioned two of 186 00:10:18,400 --> 00:10:22,560 Speaker 8: the factors right there. It's definitely a slow beer market. 187 00:10:24,040 --> 00:10:29,719 Speaker 8: Tariffs are playing a role, and also some of the crackdown, 188 00:10:29,760 --> 00:10:31,640 Speaker 8: you know, the ice has had in inner community is 189 00:10:31,720 --> 00:10:36,560 Speaker 8: hurting the Hispanic community and their socialization trends. All these 190 00:10:36,559 --> 00:10:38,959 Speaker 8: things have been a factor for the last couple of quarters. Today, 191 00:10:39,480 --> 00:10:43,800 Speaker 8: the company said that their beer volumes were not quite 192 00:10:43,840 --> 00:10:47,280 Speaker 8: as poor as a lot of street anamals expected today, 193 00:10:48,120 --> 00:10:51,360 Speaker 8: but the pressures are still on and they're very real 194 00:10:51,400 --> 00:10:54,040 Speaker 8: for this company, and that's because they're they're suite of 195 00:10:54,080 --> 00:10:57,679 Speaker 8: products as you mentioned Corona Medello, these off these command 196 00:10:57,720 --> 00:11:02,040 Speaker 8: high price points about twice the level of a popular beer. 197 00:11:02,960 --> 00:11:05,959 Speaker 8: So in times where consumers are pulling back a little 198 00:11:05,960 --> 00:11:09,079 Speaker 8: cautious about expenditures, I remember, you know, you've had high 199 00:11:09,120 --> 00:11:11,960 Speaker 8: inflationary pricing in this category for the last few years. 200 00:11:12,960 --> 00:11:15,920 Speaker 8: These brands aren't doing so well right now, and then 201 00:11:15,960 --> 00:11:18,480 Speaker 8: compounding that with some of the factors that I mentioned 202 00:11:18,600 --> 00:11:22,360 Speaker 8: and some longer term issues like cannabis substitution things we 203 00:11:22,480 --> 00:11:26,280 Speaker 8: talked about GLP one user not drinking as much, moderation 204 00:11:26,600 --> 00:11:29,400 Speaker 8: among gen Z. All these things are weighing of a 205 00:11:29,440 --> 00:11:30,280 Speaker 8: company here right now. 206 00:11:30,880 --> 00:11:33,360 Speaker 2: Yeah, I'm super interested in what you said about the 207 00:11:33,440 --> 00:11:36,840 Speaker 2: last part, Like the structural changes in consumer tastes, especially 208 00:11:36,840 --> 00:11:41,679 Speaker 2: from gen Z younger people overall, beers just not where 209 00:11:41,679 --> 00:11:44,040 Speaker 2: people want to be spending their money necessarily. 210 00:11:45,120 --> 00:11:47,160 Speaker 8: That seems to be the case. You know, it's been 211 00:11:47,200 --> 00:11:49,480 Speaker 8: around a long time. It's one hundred and fifteen billion 212 00:11:49,520 --> 00:11:53,920 Speaker 8: dollar market that is growing very slowly. It's essentially flat. 213 00:11:54,160 --> 00:11:57,040 Speaker 8: In fact, volumes are expected to be down low single 214 00:11:57,040 --> 00:12:00,280 Speaker 8: digit this year, So clearly it's a very mature category. 215 00:12:00,400 --> 00:12:01,880 Speaker 8: And what we've seen in over the last few years 216 00:12:01,920 --> 00:12:04,480 Speaker 8: is consumers just want different tastes. You know, you have 217 00:12:04,520 --> 00:12:07,920 Speaker 8: a proliferation of the ray to drink cocktails, you know, 218 00:12:08,000 --> 00:12:12,760 Speaker 8: like truly and white clothes and more sophisticated you know, 219 00:12:12,880 --> 00:12:15,240 Speaker 8: Margarita's in a can and so on faster a lot 220 00:12:15,240 --> 00:12:18,920 Speaker 8: of the consumer who wants tastes experimentation are going And 221 00:12:18,960 --> 00:12:21,920 Speaker 8: then you have other more mundane factors like just you know, 222 00:12:22,040 --> 00:12:26,439 Speaker 8: calorie more conscious, conscientious, calorie counts and all these things 223 00:12:26,480 --> 00:12:28,840 Speaker 8: are just weighing on this very very mature industry. 224 00:12:29,800 --> 00:12:32,040 Speaker 5: So somebody like Constellation Brands, did they go out and 225 00:12:32,080 --> 00:12:36,040 Speaker 5: look to maybe buy some of these brands or verticals 226 00:12:36,040 --> 00:12:38,760 Speaker 5: that within the spirit's business may be growing. 227 00:12:40,320 --> 00:12:44,360 Speaker 8: Well, they've had a kind of a mixed history of 228 00:12:44,840 --> 00:12:46,719 Speaker 8: m and A over the last few years. I'll put 229 00:12:46,720 --> 00:12:50,000 Speaker 8: it up me kind and say that way not really. 230 00:12:50,320 --> 00:12:53,520 Speaker 8: You know, they're downsizing their wine and spirit segment and 231 00:12:53,600 --> 00:12:56,280 Speaker 8: try to shift it to more of a high end mix, 232 00:12:56,360 --> 00:12:59,160 Speaker 8: which I think they're having success with. But what that 233 00:12:59,240 --> 00:13:01,920 Speaker 8: does is it may their beer business even that much 234 00:13:01,960 --> 00:13:04,720 Speaker 8: more important. It's now about eighty five percent of their sales, 235 00:13:05,240 --> 00:13:08,160 Speaker 8: so as beer goes. I mean, the company has really 236 00:13:08,160 --> 00:13:12,760 Speaker 8: good brands and a lot of brand loyalty there, but 237 00:13:12,880 --> 00:13:14,800 Speaker 8: again there's not a lot of wiggle room there. 238 00:13:16,400 --> 00:13:20,640 Speaker 2: So, so with beer becoming less popular, and you mentioned 239 00:13:20,679 --> 00:13:24,959 Speaker 2: other big trends like ozebic, weight loss, drugs, and greater 240 00:13:25,480 --> 00:13:29,920 Speaker 2: cannabis use, what is Constellation doing about non alcoholic beverages. 241 00:13:31,559 --> 00:13:35,560 Speaker 8: So they've rolled out a non alcoholic corona brand. They've 242 00:13:35,600 --> 00:13:37,839 Speaker 8: come out a couple of years ago. They came out 243 00:13:37,840 --> 00:13:44,640 Speaker 8: with a low calorie brand called Medelo Oro, a corona 244 00:13:45,160 --> 00:13:48,520 Speaker 8: no alcohol I think I mentioned. So those two brands, 245 00:13:48,600 --> 00:13:51,920 Speaker 8: while they're relatively small, they see, you know, a lot 246 00:13:51,920 --> 00:13:56,040 Speaker 8: of opportunity that's on trend with what you said, so 247 00:13:56,679 --> 00:14:00,280 Speaker 8: you know they're doing that. They're also modifying some of 248 00:14:00,320 --> 00:14:03,319 Speaker 8: their portfolio for more taste. There's the consumers that want 249 00:14:03,320 --> 00:14:05,600 Speaker 8: a lot of taste are coming out with you know, 250 00:14:06,320 --> 00:14:10,920 Speaker 8: a fruity surveysa and so they're doing as much as 251 00:14:10,960 --> 00:14:13,240 Speaker 8: they can to stay on trend with consumers. 252 00:14:13,600 --> 00:14:16,560 Speaker 2: I love myself a great fruit beer. Yeah there's a 253 00:14:16,640 --> 00:14:18,200 Speaker 2: German great fruit beer that I really like. 254 00:14:18,720 --> 00:14:19,920 Speaker 3: Yeah, tastes good. 255 00:14:20,200 --> 00:14:24,800 Speaker 5: So this talk to U about this legal cannabis and obesity, 256 00:14:24,880 --> 00:14:27,320 Speaker 5: drugs and the impact that's having on kind of the 257 00:14:27,360 --> 00:14:30,040 Speaker 5: beer business, the spirits business overall. Can is that something 258 00:14:30,040 --> 00:14:32,320 Speaker 5: that a lot of your companies are calling out. 259 00:14:33,240 --> 00:14:35,280 Speaker 8: Yes, As a matter of fact, Paul, yesterday we came 260 00:14:35,280 --> 00:14:37,720 Speaker 8: out with our BI came out with our fourth annual 261 00:14:37,760 --> 00:14:43,560 Speaker 8: consumer survey on beverage preferences, and again we see that 262 00:14:43,680 --> 00:14:49,440 Speaker 8: consumers are substituting cannabis for alcohol. Of consumers that do 263 00:14:49,600 --> 00:14:54,120 Speaker 8: partake in cannabis, now more than half have substituted for 264 00:14:54,320 --> 00:14:57,520 Speaker 8: alcohol at least once a week, and that's up from 265 00:14:57,560 --> 00:14:59,720 Speaker 8: forty six percent last year. So that's a trend that 266 00:14:59,840 --> 00:15:02,840 Speaker 8: just keeps moving. Now you're seeing a lot of these 267 00:15:02,840 --> 00:15:07,600 Speaker 8: cannabis companies coming out with THC products beverages that are 268 00:15:07,720 --> 00:15:11,520 Speaker 8: sold in mainstream liquor stores. You know, traditional cannabis, legal 269 00:15:11,560 --> 00:15:14,520 Speaker 8: cannabis sold in dispensaries, It was not really a big hit. 270 00:15:15,360 --> 00:15:19,560 Speaker 8: But now that some of these federally legal HEMP based 271 00:15:19,560 --> 00:15:23,280 Speaker 8: THC products beverages are sold in liquor stores right next 272 00:15:23,320 --> 00:15:26,080 Speaker 8: to the beer rile in about half the states of 273 00:15:26,080 --> 00:15:30,280 Speaker 8: the country, that's really chipping away also at beer consumption. 274 00:15:31,080 --> 00:15:33,360 Speaker 2: A final question to you, Ken, what about return of 275 00:15:33,400 --> 00:15:35,960 Speaker 2: cash to shareholders. I'm looking at the dividend yield about 276 00:15:36,000 --> 00:15:40,520 Speaker 2: two point nine percent if you're being generous. Is consulation 277 00:15:40,600 --> 00:15:43,200 Speaker 2: brands still able to make good on its dividends continue 278 00:15:43,200 --> 00:15:44,120 Speaker 2: buying back its chairs. 279 00:15:45,080 --> 00:15:49,480 Speaker 8: Yeah, that's an important point, Scarlett. Yes, they can despite 280 00:15:49,520 --> 00:15:52,840 Speaker 8: the pressure on sales. Believe it or not, the operating 281 00:15:52,880 --> 00:15:56,280 Speaker 8: margins the Constellation generates are best in class. They're about 282 00:15:56,320 --> 00:16:00,320 Speaker 8: twice that of other alcoholic beverage companies in general. So 283 00:16:00,360 --> 00:16:02,720 Speaker 8: they have strong cash flows. As a matter of fact, 284 00:16:02,720 --> 00:16:06,320 Speaker 8: they're winding down construction of a brewery right now. Over 285 00:16:06,320 --> 00:16:08,160 Speaker 8: the over the next couple of years, you're going to 286 00:16:08,200 --> 00:16:11,120 Speaker 8: see free cash flow likely rising. So it's high in 287 00:16:11,240 --> 00:16:15,800 Speaker 8: rising and that's enabling them to continue to meet their 288 00:16:15,800 --> 00:16:18,560 Speaker 8: commitments to share share buybacks and dividends. 289 00:16:19,640 --> 00:16:22,720 Speaker 3: Stay with us. More from Bloomberg Intelligence coming up after this. 290 00:16:26,240 --> 00:16:29,960 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 291 00:16:30,040 --> 00:16:33,080 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 292 00:16:33,120 --> 00:16:36,440 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 293 00:16:36,480 --> 00:16:40,000 Speaker 1: you get your podcasts, or watch us live on YouTube. 294 00:16:40,920 --> 00:16:43,040 Speaker 2: Let's switch gears and take a look at some of 295 00:16:43,040 --> 00:16:46,160 Speaker 2: the hardware companies or I should say software companies. Once 296 00:16:46,200 --> 00:16:48,920 Speaker 2: upon a time it was hardware, and I'm talking about IBM. 297 00:16:48,960 --> 00:16:51,400 Speaker 2: It's a legacy tech company and it is the latest 298 00:16:51,480 --> 00:16:55,440 Speaker 2: legacy tech company to partner up with an AI startup. 299 00:16:55,720 --> 00:16:58,640 Speaker 2: Arog Rana is tech analysts here at Bloomberg Intelligence on 300 00:16:58,880 --> 00:17:04,280 Speaker 2: an rog hear this fancy announcement about IBM inking a 301 00:17:04,320 --> 00:17:07,680 Speaker 2: partnership with Anthropic to integrate this Claud family of large 302 00:17:07,720 --> 00:17:11,240 Speaker 2: language models into certain IBM software. What I noticed is 303 00:17:11,280 --> 00:17:14,360 Speaker 2: that there's no Toller amount mentioned at all. So how 304 00:17:14,400 --> 00:17:17,240 Speaker 2: do you evaluate this partnership versus other tie ups. 305 00:17:18,680 --> 00:17:20,680 Speaker 6: See, when you come to a company like IBM, I 306 00:17:20,760 --> 00:17:22,760 Speaker 6: think they have done a very good job of being 307 00:17:22,800 --> 00:17:26,320 Speaker 6: open and partnering with other vendors. I think the acquisition 308 00:17:26,359 --> 00:17:28,440 Speaker 6: of red Hat was the first such example a few 309 00:17:28,520 --> 00:17:31,040 Speaker 6: years ago. And frankly speaking, the company has turned around 310 00:17:31,119 --> 00:17:33,320 Speaker 6: quite a bit. Now it's more of a software company 311 00:17:33,320 --> 00:17:35,960 Speaker 6: than it is a service order hardware company. So when 312 00:17:36,000 --> 00:17:38,879 Speaker 6: you look at today's announcements, IBM still has a lot 313 00:17:38,960 --> 00:17:43,800 Speaker 6: of footprint in legacy companies and their internal infrastructure, whether 314 00:17:43,840 --> 00:17:47,600 Speaker 6: that's a regulated entity, whether that's an on premise software. 315 00:17:48,000 --> 00:17:51,280 Speaker 6: What they're basically doing saying is for these companies who 316 00:17:51,320 --> 00:17:55,000 Speaker 6: want to add more AI capabilities into their infrastructure, we're 317 00:17:55,000 --> 00:17:57,120 Speaker 6: going to use one of the best models that's out there, 318 00:17:57,160 --> 00:18:01,440 Speaker 6: and that's Anthropic. They're not just so depending on IBM's 319 00:18:01,440 --> 00:18:04,240 Speaker 6: own internal models, but you know, we see more and 320 00:18:04,320 --> 00:18:07,160 Speaker 6: more of that happening that companies like IBM and other 321 00:18:07,200 --> 00:18:10,560 Speaker 6: services companies will go out and partner with you know, anthropic, 322 00:18:10,640 --> 00:18:13,080 Speaker 6: with open AI which M and I and give more 323 00:18:13,240 --> 00:18:16,880 Speaker 6: enterprise capabilities to to vendors, to companies. 324 00:18:16,920 --> 00:18:20,600 Speaker 5: Basically, how does anthropic differ from a open AI if 325 00:18:20,640 --> 00:18:20,920 Speaker 5: at all. 326 00:18:22,080 --> 00:18:24,600 Speaker 6: It's a very good question, Pauland right now what we're 327 00:18:24,640 --> 00:18:27,040 Speaker 6: seeing is entropping is pushing more and more stuff on 328 00:18:27,080 --> 00:18:30,760 Speaker 6: the corporate side or the enterprise side, on open AI side. 329 00:18:30,760 --> 00:18:33,600 Speaker 6: You know, their code business is still chat GPT, which 330 00:18:33,640 --> 00:18:35,760 Speaker 6: is the app, and that's more of a consumer app 331 00:18:35,840 --> 00:18:38,720 Speaker 6: right now. And the question is you know which one 332 00:18:38,800 --> 00:18:41,520 Speaker 6: of the models will somebody use, Whether if you are 333 00:18:41,640 --> 00:18:43,800 Speaker 6: let's say a JP Morgan or a City Corp, you 334 00:18:43,840 --> 00:18:45,560 Speaker 6: know you'll be going to be using one of their 335 00:18:45,600 --> 00:18:48,520 Speaker 6: models or an open source model. I think they're going 336 00:18:48,560 --> 00:18:52,200 Speaker 6: to be using all of the models. What entthropic relationship 337 00:18:52,240 --> 00:18:54,760 Speaker 6: with IBM, does it actually helps them to spread the 338 00:18:54,760 --> 00:18:57,960 Speaker 6: word out across their entire customer base. So if you 339 00:18:58,000 --> 00:19:00,600 Speaker 6: are trying to get more coding done, for example, in 340 00:19:00,600 --> 00:19:03,600 Speaker 6: an IT department, and you have all the legacy products 341 00:19:03,640 --> 00:19:06,320 Speaker 6: that they're now you can use you know, an AI 342 00:19:06,440 --> 00:19:09,600 Speaker 6: model from Nthropic rather than using you know, whatterver tools 343 00:19:09,600 --> 00:19:10,320 Speaker 6: you had before. 344 00:19:10,600 --> 00:19:13,960 Speaker 2: Okay, So it makes sense why Anthropic is a good 345 00:19:13,960 --> 00:19:17,080 Speaker 2: fit for IBM or how it's going to incorporate Anthropic 346 00:19:17,119 --> 00:19:21,199 Speaker 2: into IT software. But what does IBM specifically offer Anthropic? 347 00:19:21,280 --> 00:19:24,879 Speaker 2: What access does IBM have that Anthropic wants and needs. 348 00:19:26,160 --> 00:19:28,760 Speaker 6: That's another excellent question. And in this case you're looking 349 00:19:28,760 --> 00:19:32,359 Speaker 6: at IBM's entire customer base. IBM has a very large 350 00:19:32,400 --> 00:19:36,120 Speaker 6: services business or IBM consulting. These consultants will go out 351 00:19:36,160 --> 00:19:39,680 Speaker 6: and sell Anthropic software into the enterprises and say, hey, bank, 352 00:19:39,800 --> 00:19:42,840 Speaker 6: let me help you to you know, automate this particular 353 00:19:42,880 --> 00:19:45,760 Speaker 6: process and you can use it with this software. It 354 00:19:45,840 --> 00:19:48,640 Speaker 6: drives their consulting business and it also helps out their 355 00:19:48,640 --> 00:19:51,600 Speaker 6: software business, which is fairly popular right. 356 00:19:51,520 --> 00:19:57,160 Speaker 5: Now, IBM hitting all time high here today on a rug. 357 00:19:58,560 --> 00:20:00,399 Speaker 5: This stock has found a new life, has it? 358 00:20:01,720 --> 00:20:04,040 Speaker 6: Absolutely? And this is something that we've been saying it 359 00:20:04,280 --> 00:20:07,600 Speaker 6: for almost five years now that you know, the acquisition 360 00:20:07,720 --> 00:20:10,600 Speaker 6: of red Hat completely changed it. You know, if you 361 00:20:10,680 --> 00:20:12,680 Speaker 6: go back and look at some of the comments we've 362 00:20:12,680 --> 00:20:15,280 Speaker 6: made on TV about IBM. Prior to red Hat, it 363 00:20:15,359 --> 00:20:17,480 Speaker 6: was a very closed company. It only wanted to sell 364 00:20:17,520 --> 00:20:19,960 Speaker 6: their own products to people and was not very keen 365 00:20:20,040 --> 00:20:22,480 Speaker 6: on embracing you know, what I would say is open source. 366 00:20:23,200 --> 00:20:26,040 Speaker 6: With the acquisition of red Hat and the company saying, 367 00:20:26,040 --> 00:20:28,320 Speaker 6: you know what, red Hat can work with any cloud provider, 368 00:20:28,480 --> 00:20:30,800 Speaker 6: I think that was the biggest difference to me was 369 00:20:31,200 --> 00:20:35,200 Speaker 6: it allowed red Hat to work with companies but based 370 00:20:35,280 --> 00:20:38,960 Speaker 6: on Amazon Web Services or Microsoft, so they were not 371 00:20:39,040 --> 00:20:41,320 Speaker 6: just pushing their own cloud products, and I think that 372 00:20:41,440 --> 00:20:44,520 Speaker 6: really made a difference. Their software business has been doing 373 00:20:44,600 --> 00:20:47,879 Speaker 6: so well comparatively to the rest of the world, and 374 00:20:47,920 --> 00:20:50,359 Speaker 6: I think that's where you see the market validation that 375 00:20:50,400 --> 00:20:52,680 Speaker 6: this is the right strategy for them. 376 00:20:52,880 --> 00:20:57,560 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 377 00:20:57,760 --> 00:21:01,240 Speaker 1: and anywhere else you get your podcasts. Listen live each 378 00:21:01,240 --> 00:21:05,040 Speaker 1: weekday ten am to noon Eastern on Bloomberg dot com, 379 00:21:05,119 --> 00:21:08,640 Speaker 1: the iHeartRadio app tune In, and the Bloomberg Business app. 380 00:21:09,080 --> 00:21:12,000 Speaker 1: You can also watch US live every weekday on YouTube 381 00:21:12,400 --> 00:21:14,640 Speaker 1: and always on the Bloomberg terminal